Key Responsibilities:
Building Scalable AI Solutions:
- Design, develop, and implement scalable AI solutions, including Generative AI models.
- Optimize AI workflows and systems for performance, reliability, and cost-effectiveness.
Experience with Generative AI and AI Techniques:
- Utilize generative models (e.g., GPT, DALL-E, GANs) to create innovative AI solutions.
- Apply state-of-the-art machine learning techniques for training and fine-tuning large-scale models.
- Leverage advanced natural language processing (NLP), computer vision, and reinforcement learning as part of the solution.
Building and Deploying AI on AWS:
- Design cloud-native architectures for AI workloads, ensuring high availability and scalability.
Skills & Qualifications:
- AI/ML Expertise: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face, with practical experience in building and deploying models at scale.
- AWS Knowledge: Hands-on experience with key AWS services, particularly SageMaker, Lambda, S3, EC2, and other tools related to ML lifecycle management.